Questions related to Surveillance
On 09/09/2000, I wrote this text for a discussion group among veterinarians. What would we say about this subject today?
Of something around 1500 infectious diseases cataloged by the World Health Organization, 200 are Zoonoses (diseases communicable from animals to humans).
The epizootiological and epidemiological behavior of certain newly emerging diseases, such as those caused by the Ebola virus, the Australian equine Morbillivirus, the Hantaviruses and the “Prions”, has generated some alarm in World Public Health.
However, the inconstant level of seriousness of action of the Health Surveillance, in the different levels of contingency, national, state and municipal, is what generates the determining factor of the appearance of epidemics or epizootics.
In a world scenario where globalization of activities merely focused on the commercial aspects of a devouring and elitist capitalism is discussed, it is up to us to scrutinize the stertorous yearnings of a sick and anemic Public Health in the Third World.
National health and agricultural defense policies, luxurious and extravagant in essence, created in a laboratory, disconnected from basic structuring actions aimed at collective health, are nothing more than technocratic premises and philosophical guidelines, totally divergent from the real peripheral contexts of “Africa”, “India” and “Brazil” with its droughts and mangroves, postcards of world misery.
Partnerships are created (G-7, “Merco of this, Merco of that”) with surrealist objectives, with the sole beneficiaries of powerful merchants, holders of maximized structures in “Markets” of capitalist life.
In this enigmatic context, Health (animal health and human health) is lacking and Zoonosis (anthropozoonosis and zooanthroponosis) begins to exceed.
And where are the health professionals who promised to always obey, in the exercise of their noble profession, the postulates of science, honor and charity?
Certainly, lost in dreams and ideals of mercantile practices, devoid of the basic principle of love for others, which should be embedded in their professional duties.
Many within the area of Public Health, create slogans and raise theoretical socialist flags. Being a Socialist is not preaching Marxism, communism and other “ideological aphorisms”, but following the simplicity of what is written in the biblical reference of John 13.34-35.
We need to pay more attention to World Public Health and to study and evaluate daily the progress of these Zoonoses, which seem to threaten the evolution of medical science human resources with greater speed and better strategy.
My question is:
In your opinion, why are zoonoses gaining greater repercussion in current public health? Has medical science awakened to the real problem? Was it driven by conflicts of interest? Or did it just reduce some bias in your and hypotheses?
I am an upcoming researcher and this is going to be my first research. My research involve that why all countries preferably India are extensively building up a swarm of drones in every field like agriculture, fire fighting, surveillance , etc.
Please suggest me that whether this topic is valid or not and how to approach towards it .
There are news on COVID-19 outbreak on ship, no matter cruise or military one.
And few aircraft carriers are also involved.
What is special about the ship arrangement that facilitated all these?
Nature 580, 18 (2020)
Limiting spread of COVID-19 from cruise ships - lessons to be learnt from Japan,
QJM: An International Journal of Medicine, , hcaa092,
COVID-19 outbreak on the Diamond Princess cruise ship: estimating the epidemic potential and effectiveness of public health countermeasures,
Journal of Travel Medicine, , taaa030,
Public Health Responses to COVID-19 Outbreaks on Cruise Ships — Worldwide, February–March 2020. MMWR Morb Mortal Wkly Rep 2020;69:347-352. DOI: http://dx.doi.org/10.15585/mmwr.mm6912e3
Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020.
Euro Surveill. 2020;25(10):pii=2000180.
Chest CT Findings in Cases from the Cruise Ship “Diamond Princess” with Coronavirus Disease 2019 (COVID-19)
As part of my fellowship, I want to evaluate the oral health surveillance system as part of my fellowship. I already read CDC's guidelines for evaluating surveillance systems, but I am still confused about how to assess one. Does anyone have examples of work or reviews done for this type of evaluation?
I'm looking for a database that contains unedited surveillance style videos of crimes occurring. I will be using Video Data Analysis to answer various questions about the crimes, so all types of crimes are welcome. I've use YouTube and similar sources in the past but there are methodological issues with this technique and limited sources.
Regarding the animal trapping, such as rats:
1) How to calculate the number of animals that are used for disease surveillance study? Is it based on the size of the sampling location or other factors?
2) Is the calculation of sample size for roaming animals different if the animals are on the ground, at sea or in the air?
I have to realize a deep learning model (with tensorflow and open cv) and connect it to a surveillance camera to detect non conform products in a company.
It's my first project and I'm lost, I don't know where to start and where to get a good database (knowing that I've been asked to make a standard model that can be used for any kind of product).
I need your advice to guide me, or if you can recommend tutorials that can help me.
Thanks in advance
How can I get the most related work on this area, as you know, One Health is a comprehensive and multisectoral approach to assess and examine the health of animals, humans and the environment and I want to include in this review Priority of Pathogens in Antimicrobial Resistance Surveillance in Veterinary (Animal), Human and Environmental sample from a One Health approach is discussed. GLASS priority pathogens include Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, Staphylococcus aureus, Streptococcus pneumoniae, Salmonella spp. and Shigella spp., were also. so, pls share your experience in it!
In connection with the development of cybercrime, should the surveillance of citizens by national security services be developed, expanded, increased?
To what extent can the developed range of citizens' surveillance be improved as part of the improvement of national cyber security systems?
As part of the improvement of cyber security systems, should the services for combating cybercrime be able to surveillance the entire activity of citizens on the Internet?
Are legal norms regulating the issues of cyber security, services for combating cybercrime and data security gathered in Big Data database systems of large online technology companies fully adapted to the rapidly growing ICT and Internet technology?
I'm looking for benchmark datasets for kidnapping detection from surveillance cameras. Are there any good datasets that could help me with achieving this?
The poor surveillance is a very big problem in chilgoza forest regeneration, and there is a huge difference between root and shoot growth (R/S) Ratio this might be a reason? how we can increase shoot growth?
There is an established system for reporting of adverse events following immunization (AEFI) applicable for vaccines in universal immunization programme in India. Is there a similar surveillance system for reporting adverse events of COVID-19 vaccines ? Is the VigiFlow system (https://www.who-umc.org/global-pharmacovigilance/vigiflow/about-vigiflow/) recording COVID-19 vaccine adverse events in India ?
I am working on a project named Image Captioning, and I want to use its applications like Visual Question Answering in the areas of Security and Surveillance, how it will help to manage large amounts of surveillance data effectively, to bring a big change in security measures. Are there any suggestions or research papers available for that? Please suggest.
Does anyone know if there are recent study about plant pathogenic fungi or invasive fungi surveillance? Such as sudden oak death or other important fungi.
we are doing an assessment of communicable disease surveillance system in our region, there are nearly 300 health facilities (primary health care centers and hospitals), I would like to select a number of health facilities to ask them about the communicable disease surveillance system, How can I calculate the number of health facilities that I should choose to perform this study.
I am making use of a multiphase mixed-methods study to develop, implement and evaluate an injury surveillance system.
In the first study, I am making use of an exploratory sequential design, where the participant's perceptions (qualitative approach) will be used to build a context-sensitive framework, through which quantitative data (weekly survey) about injury rates can be captured (second study). Since the quantitative part is a longitudinal study, collecting data from the same population, I am also analysing the end-users engagement with the system, based on the weekly response rate.
At the end of this, I will be evaluating the surveillance system as a practical tool for end-users through qualitative data (third study). This will be done by analyzing response rates from the prior quantitative study and identifying a purposeful sample of participants based on their response rates and their engagement with the system.
Now, the question is, should I call this design a sequential explanatory one? I am confused as I am only using one outcome (weekly engagement) from the second study and trying to explain it through qualitative means.
Locally derived surveillance data to track resistance patterns and better understand the burden of AMR on patients there.
Observations from minned resources now show that Pfizer Inc sponsored Antimicrobial Testing Leadership and Surveillance (ATLAS) is an online platform that provides widespread access to data on both emerging bacterial and fungal resistance patterns.
This is supporting Public health and invariably steps that backup health promotion
With the daily updates on COVID-19 cases and deaths, I am trying to understand the algorithm behind the assignment of the cause of death.
I was wondering how doctors evaluate and assign the cause of death?
E.g. if someone has a heart attack, following COVID-19 infection (while they are infected - not post recovery) and this person had metabolic syndrome (let's say all dyslipidemia, hypertension and hyperglycaemia) how to we make a decision if the cause death is COVID-19 or diabetes or cardiovascular disease?
To me the guideline given for the assignment of COVID-19 death in Australia seems to have an inherent bias towards COVID-19:
"As per the COVID-19 national guidelines, a COVID-19 death is defined for surveillance purposes as a death in a probable or confirmed COVID-19 case, unless there is a clear alternative cause of death that cannot be related to COVID19 (e.g. trauma)."
But I actually do not wish to restrict my question to COVID-19. Instead, I am trying to understand in general how we calculate mortality rates for different diseases, as these numbers inform policy and how funds are allocated.
Especially for complex metabolic conditions, like cardiometabolic ones, how do we decide if someone with type 2 diabetes, and vascular damage potentially due to hyperglycaemia, that had a stroke, will be assigned to the diabetes deaths toll or to the cardiovascular deaths toll?
How does e.g. WHO come up with:
9.5 million deaths from heart attack per annum
6 million deaths from stroke per annum
2 million deaths from diabetes per annum
Is there a guideline given to doctors regarding a decision-roadmap to assign the cause of death?
1. Where can you find surveillance data of Non-communicable data of different countries?
2. What types of research/study design are usually done in this case?
May I offer my posit. SARS-COV-2 may have some part which is immuno-antigenically similar to some component of human makeup, resulting in this autoimmune state. This may also be related to the Hypercytokine Storm we are seeing in adults, again, over-reaction of the immune system to the virus. I dare say I am old enough to be able to compare this to the Scarlet Fever/Rheumatic Fever days, leading to cardiac valvular attack by a similar reaction of autoimmunity, stimulated by hyperactivity of the immune system to antigenically similar infectious particles. Thank you. Gary Ordog, MD. In response to the following:
MAY 15, 2020
-Rapid risk assessment: Pediatric inflammatory multisystem syndrome and SARS -CoV-2 infection in children
-The ECDC has published a Rapid Risk Assessment on pediatric inflammatory multisystem syndrome and SARS -CoV-2 infection in children.
-According to ECDC, several countries affected by the COVID-19 pandemic recently reported cases of children that were hospitalized in intensive care due to a rare pediatric inflammatory multisystem syndrome (PIMS). The presenting signs and symptoms are a mix of the ones for Kawasaki disease (KD) and toxic shock syndrome (TSS) and are characterized, among others, by fever, abdominal pain and cardiac involvement. A possible temporal association with SARS-COV-2 infection has been hypothesized because some of the children that were tested for SARS-CoV-2 infection were either positive by polymerase chain reaction (PCR) or serology.
-The ECDC noted that about 230 suspected cases of this new pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 infection (PIMS-TS) have been reported in EU/EEA countries and the UK in 2020, including two fatalities- one in the UK and one in France. These cases are being further investigated.
-"So far, epidemiological studies have shown that children appear to be less affected by COVID-19. Only 2.1% of all laboratory-confirmed COVID-19 cases reported to The European Surveillance System (TESSy) were in the age group between 0 and 14 years of age", the agency stated.
-The ECDC also added that an association between SARS-CoV-2 infection and this new clinical entity of multisystem inflammation has not yet been established to date, although an association appears plausible. The ECDC assessed the risks as follows:
-The overall risk of COVID-19 in children in the EU/EEA and UK is currently considered low, based on a low probability of COVID-19 in children and a moderate impact of such disease.
-The overall risk of PIMS-TS in children in the EU/EEA and the UK – is considered low, based on a very low probability of PIMS-TS in children and a high impact of such disease.
-"While the clinical management of these children has absolute priority, data collection from EU/EEA Member States and the UK would strengthen the body of knowledge for this rare condition and allow for a better analysis of these cases. An analysis of surveillance data could clarify the incidence of KD/PIMS and identify the most affected age groups and risk factors for both conditions", the ECDC noted.
-ECDC has agreed with the EU/EAA Member States and the UK to include PIMS as a possible complication to be reported for EU-level COVID-19 surveillance. According to the agency, research efforts should aim at determining the role of SARS-CoV-2 in the pathogenesis of PIMS-TS and answering other significant remaining questions.
How to obtain data sets for research (database) on the monitoring of mechanical vibrations and electrical faults of a synchronous generator or motor?
Comment obtenir des ensembles de données pour la recherche (base de donnée) sur la surveillance des vibrations mécaniques et les défauts électrique d'une générateur ou moteur synchrone ?
After this Covid-19 crisis, our next relevant challenge will be a global surveillance network involving "VETERINANS" and "ANIMAL BIOLOGISTS" to MONITOR, and possibly to predict, potential sources of another highly pathogenic Covid. It will be necessary to prepare a "PLATFORM " to facilitate scientific exchange across disciplines (Large BrainStorming) , sharing of data, old and recents resultats of resarch, and coordinated efforts to prevent future Sanitary CRISIS.
Immune mechanisms play an integral role in tumor growth establishment and metastases. Immunoediting is a dynamic process which contributes to immuno surveillance to keep under control It is made up of three phases: 1) elimination, 2) equilibrium, and 3) escape.
1. Elimination: Most immunologically vulnerable tumour antigens may eliminate by elimination phase immune editing as host’s immune system is capable of recognizing these cells
2. Equilibrium: However, constant division can generate tumour cells with reduced immunogenicity that can evade the immune elimination because of the genetic instability. This state of production of new tumor cell variants balanced by the distraction has been dubbed “equilibrium”, during which the cancer cells continue to divide, accumulating mutational changes by chance or in response to immune-induced inflammation.
3. Escape: These processes gradually come to a situation where tumours are capable of reducing the capacity of the immune system, to eradicate them by achieving immune suppressive effects or by loss of target antigen expression. Consequently tumour escapes from immuno surveillance and progression of carcinogenesis will occur. Nonetheless, there may be conditions under which tumor cells are truly dormant, for example by induction of “senescence”. In this case, they would be likely to remain dormant permanently, as replicative senescence is generally believed to be irreversible.
Microbiome studies based on ‘omic’ technologies have provided the laboratory evidence on disease associated in metabolic diseases and cancer (non infectious origin). These microbes especially bacteria are the most metabolically versatile organisms in the world, which can adopt to any environment, even changing their genetic potential, using mechanisms such as horizontal gene transfer. Thus cancer associated microbiome dominated by inflammaphilic periodontopathogens can be found in OSCC tumour micro environment.Furthermore, in-vitro experiments have provided substantial information on carcinogenicity of P. gingivalis and F. nucleatum.
I would like to start a meaningful discussion on immune responses of the host to 'cancerbiome induced inflammation' which can retard the 'immuno surveillance ' in oral carcinogenesis. For an example , retardation of 1st and 2 nd steps in immuno editing, which may cause immuno suppression, where tumour could escape from immuno surveillance. For an example well known periodonto pathogens such as P. gingivalis or F. nucleatum., how they can contribute to immuno suppression of the host which may lead tumour cells to escape from immuno surveillance ?
I'm currently employing a sequential mixed-methods approach, including an initial exploratory phase and a final explanatory phase. The initial phase is a qual -> QUANT, with the primary aim to understand the context of the stakeholders so as to design a context-specific surveillance system. The second phase is the collection of data through quantitative means and explaining it through the qualitative findings from the initial part, in other words integrating qualitative and quantitative findings. The third phase, i.e. the evaluation phase is a quant-> QUAL.
the question is: should I make use of a dialectic perspective, i.e. constructivism and post-positivism under the heading of pragmatism or should I explain this primarily from a pragmatism point of view, without considering the multiple paradigms?
Do you think, one day the technology will be developed by which each and every single human being can be monitored continuously without any device with them; just sensing their DNA barcode? Their location, activities, temperature, wellbeing, etc.
After reading the book "The age of surveillance capitalism" seems evident that big data will influence our decisions in the close future (if it is not already happening). According to this reality, it seems that the classical approach of segmentation will no longer be useful.
I would like to know your opinion about this
I am currently designing an intervention (injury surveillance system) to be implemented within an organization. This research (following a pragmatic paradigm) will follow a multiphase mixed methods research consisting of QUAL -> QUANT -> QUAL.
The initial qualitative part will be conducted through interviews with the stakeholders of the organization in order to understand their perspectives with regards to the intervention; to identify barriers and facilitators to implementing the intervention and to design the intervention that best fits with the organizational needs.
My question is this: I am not sure which qualitative approach do I have to consider in this first part of the study. I am approaching this study from a pragmatic world view and hence I do not know whether this part requires a specific qualitative approach.
Self-treatment or over the counter drugs. is use of medication without consulting a physician either for diagnosis, prescription, or surveillance of treatment.
The most widely self-medicated substances are over-the-counter drugs used to treat common health issues at home. It involves obtaining medication without prescription and taking medicines on advice of and from friends and relatives.
Is self -medication illegal or at least an incorrect method of treatment?
Data and accessibility services for persons with disabilities
Many people have privacy concerns particular data as more personal and sensitive than others, I think people's privacy concerns differ according to the purpose for which data is collected, with the contrast between service and surveillance purposes most paramount.
People must know for which purpose data is used and weigh the benefits that providing their data may offer them. When these benefits are of immediate personal relevance e.g. accessibility, medical, access services, I think most people are willing to share their data.
My research work focused on Multi moving swarm robot based moving object detection and tracking for intelligent video surveillance. I need some excellent papers which are related to Multi moving object detection and tracking for multiple swarm robots.
Keyword: Multi camera multi moving object detection and tracking.
Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. WSNs measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on.
These are similar to wireless ad hoc networks in the sense that they rely on wireless connectivity and spontaneous formation of networks so that sensor data can be transported wirelessly. WSNs are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on.
In general, RGB cameras are using for surveillance purpose. With the advancements in sensor technology, cost effective depth sensor like Kinect are available in the market. Can we use them for surveillance purpose?
Having been involved in biomarker-based studies in Bangladesh & S. Africa, I am interested in the methods you are employing, please, including the overall design of the surveillance programme.
I am interested to explore some good applications of computer vision(other than surveillance ) in smart buildings. Any comments please.
Despite the advantages of the transdisciplinary interaction between scientists through Research Gate questions is obvious, and answers are almost always polite and scientifically sound, the risk of flaws and non-scientifically proven arguments is still there. Is the Research Gate community the one obliged to contain inappropriate approaches or rather RG must take an active role on it?
In spite of several campaigns and infinite awareness activities, water wastage is still an avid problem. In countries like India especially in its rural areas, this problem imposes a great threat.
Is it possible to retrieve information relevant to this from the satellite image data and use it to build a systematic surveillance system for this?
Hi everyone! My lab is in the process of establishing a new project involving the use of field-caught mosquitoes. Does anyone have any highly-recommended traps for catching mosquitoes in the field?
Our lab is located in a relatively swampy and humid area in South Carolina, so we have a large variety of mosquito species available.
Since we mainly use molecular techniques, we really need both the DNA and RNA of the captured mosquito specimens to remain intact.
Thus far, the most promising traps appear to be either the EVS 2801A CO2 trap (BioQuip Products Inc.) or a simple 2L cylindrical, insulated container with a CO2-baited miniature light, as was used by Paul DR Johnson et al. (2007).
Any information or recommendations would be immensely appreciated.
Thanks in advance!
Johnson, P., et al. (2007). Mycobacterium Ulcerans In Mosquitoes Captured During Outbreak of Buruli Ulcer, Southeastern Australia. Emerging Infectious Diseases 13(11): 1653-1660.
dear fellow researchers,
I am working with person recognition in outdoor surveillance. I ve one doubt that can i use local binary pattern feature for person recognition in outdoor environments .
please let me know
Automatic Dependent Surveillance Broadcast (ADS-B) is a key avionics technology used for aviation cooperative surveillance (i.e., aircraft separation assurance and collision avoidance). However, the absence of adequate security features makes this system vulnerable to a number of cyber-physical threats (jamming, spoofing, meaconing, etc.). What technological solutions can be introduced to address this challenge?
I am currently doing a project for a government who wish to introduce the use of body cameras among their labour inspectors and health & safety inspectors when conducting visits to business premises. They are thinking of combining this with the use of GPS so that the camera automatically switches on when the inspector reaches the business and automatically switches off when he/she leaves the business. Does anybody know of any research on the impacts of the usage of such body cameras, such as in related areas (e.g., policing)?
I am working on underwater surveillance project. I have been searching for a visual tracking benchmark for the underwater data-set but failed to find any. If anyone is aware of or working on underwater tracking, please help.
I'm interested in knowing until which point Exploratory Data Analysis (EDA) techniques are currently being applied in a variety of biomedical/research projects.
I'm currently managing this blog post to share the most interesting and/or promising approaches to the use of EDA techniques I come across within my monthly surveillance of the matter.
Your feedback is welcome!
There are two approaches for molecular antimicrobial resistance (AMR) surveillance: 1.Typing-based, in which resistance is predicted by association with genotype, and 2. The direct detection of genetic markers of AMR.
If the prevalence of Neisseria gonorrhoeae is low in a city(for example 25-30 isolates during 6 month sampling), which approach is suitable for molecular AMR surveillance?
I've developed an action recognition algorithm using depth action sequences. I wanna implement the algorithm in a surveillance camera which captures rgb videos. Would the algorithm be able to recognize actions regarding the data?
WHO’s first release of surveillance data on antibiotic resistance reveals high levels of resistance to a number of serious bacterial infections in both high- and low-income countries. Though efforts are underway, the condition is posing big challenge in the fight against infectious disease. How the scientific community and other relevant stakeholders could curb the problem.
Reflections on best experiences are appreciated,
dear fellow researchers,
I am working with person recognition in outdoor surveillance. I ve one doubt that can i use local binary pattern feature for person recognition in outdoor environments .
please let me know
Let's fight against pollution in the Mediterranean
1- The overall objective Facilitate and unite efforts to combat marine litter in the Mediterranean Sea.
2. Specific object
Set up a platform for the control and monitoring of coastal marine areas based on the collection of local, radar and satellite information and a geographic processing model (GIS) of this information using satellite information and implementing a system surveillance based on drones. Put in place a system for sharing these results between the countries of the South and the North 3- Key words Environment, Mediterranean Sea, platform, surveillance, information gathering, GIS, satellite image, Drones.
Surveillance data are ubiquitous in Latin American countries, but most times of poor quality. I am currently using a mixed-effects model, but should I use Poisson or Linear? I know there are a lot of alternatives for analysis of time series data but these two have the strength that they are the ones that are easier to communicate to the decision makers. Thanks in advance for your response.
Given, two frames from a real world scenario such as a surveillance video of a street where there are pedestrians moving. I need to compare the performance of different optical flow algorithms ( Lucas-Kanade, TV-L1 [Zach et al.], Brox et al.) over these datas.
Are there any standard techniques for the evaluation of the flow vectors obtained from each when applied to this data?
(There is the middlebury evaluation for this purpose but it does not contain any real world data)
If there are no existing techniques, then, how to create a ground truth manually for such real world data?
I am on the verge of preparing a protocol for evaluating the impact of a four years surveillance system on infectious disease, to proceed; I need some kind of a direction and ideas on the crucial point and steps in conducting an impact evaluation, conceptual framework, things that i need to focus/addressed and so on so forth. It would be of great help if anyone could share their experiences and ideas or even a template protocol, protocols or published papers on the same.
Is there any study on the relationship between immune cells migration and immune surveillance, or immune escaping of tumor cells? It is clear that immune cells migrate in different tissues and this migration helps them to complete their functions. One of these functions, immune surveillance, should be under effect of immune cells migration but I can not find anything. I am looking for related papers or a keyword.
how useful would you say genomic approaches is in this field in comparison to traditional methods used previously to identify pathogens?
Is it better for patient treatment for us to use genomic sequencing methods such as WGS/NGS?
Does it help public health investigate outbreaks and make international surveillance easier?
(1) what is meant by unexpected here .how to detemine the level shifted from endemic to epidemic.
(2) what is the period of surveillance needed to say that this is an outbreak ??
I was wondering if anyone had any expertise on the fourth amendment pertaining to electronic surveillance.
Would prospective warrantless StingRay searches that track a criminal to their own private residence be constitutional. Under the public movement doctrine, public roads are arguably covered, however if we follow Karo, it states that once the tracking invades the residence of an individual it violates the fourth amendment.
The link provided http://www.cvg.cs.rdg.ac.uk/PETS2001/ANNOTATION/ is not working. The PETS (Performance Evaluation of Tracking and Surveillance) data sets are hosted by University of Reading. I trying to contact the Professors that manage the data sets but they did not reply yet.
I am conducting a study into the need for echocardiogram monitoring in patients taking cabergoline for hyperprolactinaemia disorders (not Parkinson's disease). I'm interested if there are any local/national guidelines for echo surveillance that helps guide clinicians in this.
I trained road sign images using 1000 positive images.
and as I attaced one of an example, I can extract ROI from real scene Images so far.
I think I need to detect the arrow symbol looks like "<" ">" from the ROI(yellow bounding box) to detect road sign.
Any ideas should be welcome! Thx in advance!
I am trying to write an algorithm for surveillance camera where it sends only changed frames(any deviations to base frame) to control centre than just simply always sending live stream. I am implementing this to save bandwidth allocated to wireless surveillance cameras.Here I am using Color histogram and Daubechies wavelet transformation. Can any one suggest any new ideas in doing this.